Applied ML Scientist, Digital Biomarker (India)

Applied ML Scientist, Digital Biomarker (India)

27 Aug
|
Arcanys
|
India

27 Aug

Arcanys

India

bout Arcanys
Arcanys launched in 2010 to help entrepreneurs and innovators from Australia, Europe and other parts of the globe accelerate their software development with dedicated remote engineers from the Philippines (and, more recently, Bulgaria).

Why work with us?
There’s a unique spirit to Arcanys—manifested in our amazing talents, passion for technology, and a strong focus on everyone’s career and personal development. As a company rooted in people, we make a point to offer exciting work opportunities and foster a culture that everyone can meaningfully contribute to.

Join us as a: Applied ML Scientist, Digital Biomarker

Works alongside our SDSC data-science partners and in-house science and backend teams.
As an Applied ML Engineer on the MSI team, you develop the statistical and machine learning models that turn behavioral app data into a validated digital biomarker of craving. From exploratory analysis and feature engineering to production deployment and monitoring,



you will own the full machine learning lifecycle and work closely with backend and frontend engineers to bring AI-powered features to our platform.

In this role you’ll get to:
Develop and implement statistical and machine learning models on behavioral and response-time data from in-app tasks.
Engineer features from high-frequency behavioral data and identify the most informative signals through statistical analysis.
Benchmark model families from regularized statistical models and gradient-boosted trees (XGBoost, LightGBM).
Design and run validation: cross-validation, calibration, explainability (SHAP), feature-importance and ablation analysis, with a focus on out-of-sample generalization.
Build and maintain reproducible training pipelines, experiment tracking, and model versioning using up-to-date MLOps practices.
Deploy models as scalable APIs and collaborate with backend engineers to integrate them into production and optimize them for low-latency, on-device inference where appropriate.
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📌 Applied ML Scientist, Digital Biomarker (India)
🏢 Arcanys
📍 India

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